This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.
License
GNU General Public License version 2.0 (GPLv2)Follow Python Neural Genetic Algorithm Hybrids
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User Reviews
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The examples on the PyNeurGen website and in the source are excellent. However, I would like to see a new version which takes advantage of multiprocessing to speed up evaluation time.